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AutoDDC: Hyperparameter Tuning for Direct Data-Driven Control

delete2023-12-01
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OA
AI
V
Valentina Breschi *
S
Simone Formentin
DOI:10.1109/MCS.2023.3310368delete
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Abstract

Abstract

En 中文
In many control applications, model-based design has become the standard practice due to the obvious advantages of a convenient, understandable description of the process and the possibility of a continuous validation of the controlled system at all stages of development [1].
Keywords:
Tuning
Predictive control
Calibration
Optimization methods
Behavioral sciences
Costs
Predictive models
Control systems
Control design
Hyperparameter optimization

Journal

I
IEEE Control Systems Magazine
IF:
6.3
Papers:
1.8K
Citations:
4.7K

Organization

P
Polytechnic University of Milan
Scholars:
2.0W
Papers: 1.8W
Citations: 24
E
Eindhoven University of Technology
Scholars:
1.6W
Papers: 1.5W
Citations: 2.2W
Cited Papers

Cited Papers

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Influence of segregation versus mixing: Intergroup contact and attitudes among White-British and Asian-British students in high schools in Oldham, England
err2018-06-10
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errMiles Hewstone; Ananthi Al Ramiah; Katharina Schmid; Christina Floe; Maarten van Zalk; Ralf Wölfer; Rachel New
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Virtual Reference Feedback Tuning for non-minimum phase plants
err2011-08-01
err84
PREAI
errCampestrini, L.; Eckhard, D.; Gevers, M.; Bazanella, A. S.
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Enhancing the fault tolerance of workflow management systems
err2000-07-01
err0
PREAI
errG. Alonso; C. Hagen; D. Agrawal; A. El Abbadi; C. Mohan
errShare
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